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Azure OpenAI vs IBM Watson Machine Learning comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
2nd
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
36
Ranking in other categories
No ranking in other categories
IBM Watson Machine Learning
Ranking in AI Development Platforms
16th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the AI Development Platforms category, the mindshare of Azure OpenAI is 6.6%, down from 12.0% compared to the previous year. The mindshare of IBM Watson Machine Learning is 1.8%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Azure OpenAI6.6%
IBM Watson Machine Learning1.8%
Other91.6%
AI Development Platforms
 

Featured Reviews

RC
AI Engineering Manager at a tech vendor with 10,001+ employees
Empowerment in regulatory content generation marred by inconsistency and hallucination issues
While it is good, we sometimes encounter hallucination issues, which is a significant concern. We are changing the prompt and fine-tuning it, but we still face some inconsistent behavior. We have specific instructions and keep the temperature very low to avoid overly generative responses, ensuring we receive specific answers from the particular source document without deviation; however, the results can sometimes vary. The main issue with Azure OpenAI is the inconsistency in output. We have a set template instruction, and it should generate within those parameters without any creativity because it's meant for regulatory authoring documents. The business provides the template instructions, and it should generate accordingly. While we have different prompts for various needs, sometimes it generates the correct results, and sometimes it does not, leading to inconsistency. For stability, based on the current model I am using, I would rate Azure OpenAI a 7 due to the ongoing hallucination issues.
reviewer2319402 - PeerSpot reviewer
Director of Business Development at a educational organization with 1,001-5,000 employees
Good fit for medium-sized companies, and offers good AutoML feature
In future releases, I would like to see a more flexible environment. It's a good product for customization and developing products. But when we need the most control over the delivery, Watson isn't the best. We can't fix everything because we're working with a machine that's creating a product. And the ability to go in-depth and tweak our model easily would be really nice.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product's initial setup phase was pretty easy."
"I would rate it a nine out of ten."
"We can use the solution to implement our tasks and models quickly."
"The most valuable feature is the ALM."
"Generative AI or GenAI seems to be the best part of the solution."
"Azure OpenAI has significantly reduced costs and increased efficiency in tasks such as aggressive testing of systems to avoid anomalies and trust issues."
"My goal was to create an experience where project managers don't have to read through entire documents. Instead, they can ask a question and receive relevant point analysis. This analysis identifies the document and specific section where the information resides. Previously, users had to rely on these document references. Now, Azure OpenAI enhances the experience by providing the answer directly in the user's own language, relevant to their context."
"Its versatility makes it incredibly useful for technical problem-solving, content creation, data analytics, and more."
"Scalability-wise, I rate the solution ten out of ten."
"I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive."
"We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code."
"The most valuable aspect of the solution's the cost and human labor savings."
"I like the whole concept of using Watson; it has a lot of good features and we find the image classification very useful."
"We have seen an ROI, as it has improved self-service and customer satisfaction."
"The most valuable aspect of the solution's the cost and human labor savings."
"It is has a lot of good features and we find the image classification very useful."
 

Cons

"The solution can be improved by reducing the token cost so that consumption from the customer is on higher side."
"We encountered challenges related to question understanding."
"There could be an ability to generate visual data, such as architecture diagrams."
"Since we don't train the model on our data, it's a struggle to ensure OpenAI answers questions exclusively from our data. During user testing, we found ways to make the system provide answers from outside sources."
"There is room for improvement in their support services."
"Our customers are worried about data management, ethical, and security issues."
"Azure needs to work on its own model development and improve the integration of voice-to-text services, particularly for right-to-left languages such as Arabic and Urdu. The accuracy in these languages requires improvement."
"Azure OpenAI should use more specific sources like academic articles because sometimes the source can't be found."
"The supporting language is limited."
"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."
"The supporting language is limited, and other languages could be added."
"Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that."
"However, early on, they relied heavily on building out these massive reference tables. That was a ton of the work that had to be done."
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."
"If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use."
 

Pricing and Cost Advice

"According to the negotiations taking place and the contract, there is a need to make either monthly or yearly payments to use the solution."
"If you consider the long-term aspect of any project, Azure OpenAI is a costly solution."
"Cost-wise, the product's price is a bit on the higher side."
"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."
"The solution's pricing depends on the services you will deploy."
"The cost is quite high and fixed."
"Azure OpenAI is a bit more expensive than other services."
"The cost structure depends on the volume of data processed and the computational resources required."
"I've only been using the free tier, but it's quite competitive on a service basis."
"The pricing model is good."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Computer Software Company
10%
Comms Service Provider
6%
Financial Services Firm
11%
University
11%
Comms Service Provider
9%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise1
Large Enterprise19
No data available
 

Questions from the Community

What do you like most about Azure OpenAI?
The product is easy to integrate with our IT workflow.
What is your experience regarding pricing and costs for Azure OpenAI?
In terms of pricing for Azure OpenAI, I would rate it as average compared to Gemini. Currently, Gemini is becoming increasingly popular, which prompts leadership to consider a switch primarily due ...
What needs improvement with Azure OpenAI?
The customization option in Azure OpenAI is quite challenging because any customization must be done through the knowledge base since Azure OpenAI models cannot be trained. I must build a knowledge...
What needs improvement with IBM Watson Machine Learning?
Sometimes training the model is difficult. We need to have at least a few different components to evaluate and understand the behavior of different users to have a very, very high accuracy in the m...
What is your primary use case for IBM Watson Machine Learning?
We use different artificial intelligence models to build questions and get answers for clients.
 

Overview

Find out what your peers are saying about Azure OpenAI vs. IBM Watson Machine Learning and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.